Swimming pool water quality on-line monitoring and control system based on Internet of Things

Abstract

The invention discloses a swimming pool water quality on-line monitoring and control system based on Internet of Things. The system is applied to the technical field of water quality monitoring and comprises a sensor module, a data processing module, a central processing module, a data transceiving module, a server, a supervision department monitoring terminal and a user monitoring terminal group. Water quality data are obtained through multiple parameter sensors arranged in the swimming pool, multi-parameter and real-time monitoring is achieved, the water quality parameter data are transmitted through data processing and classification, direct alarm prompt is achieved, and the result is visual; and based on the Internet of Things, through the server and the monitoring terminal, remote centralized monitoring is achieved, cost is saved, and response is rapid.

Description

technical field [0001] The invention relates to the technical field of water quality monitoring, in particular to an online monitoring and control system for swimming pool water quality based on the Internet of Things. Background technique [0002] The safety of water quality in public places needs to be tested. For those who like to swim, even in the cold winter, swimming is still a good way to keep fit. However, the water quality safety in public places needs to be strictly checked. Since the body of the swimmer is in direct contact with the pool water during swimming, the water quality of the pool water has a direct impact on the health of the swimming population. Simultaneously, during the soaking process of the human body in the swimming pool, a large amount of dirt and secretions on the body surface will come off and dissolve in the water, making the pool water polluted. These pollutants contain a large amount of bacteria and various pathogenic bacteria. If the pool w...

AI Technical Summary

Problems solved by technology

Since each detection device exists independently, it is not conducive to large-scale network measurement, and this detection method needs to manually summarize the data detected by different devices, which will inevitably cause waste of manpower and material resources in the detection process; the other is sampling detection , is not time-sensitive, and the detection is troublesome. Therefore, the existing swimming pool cannot achieve real-time monitoring of water quality and ensure the health of consumers.

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